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Characterization of precipitation and temperature equilibrium and its driving forces in the Yangtze river basin under climate change

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Abstract

Global warming has severely affected the climate in the Yangtze River Basin (YRB), resulting in complex and varying meteorological and hydrological processes. Therefore, identifying the effects of climate change in the YRB is important for characterizing the affected meteorological and hydrological processes. In this study, the characteristics of climate equilibrium were analyzed and the natural drivers of climate change in the YRB were explored using precipitation and temperature data from 1961 to 2018. The major findings can be summarized as follows. (1) Significant spatial and temporal differences in precipitation and temperature occurred. For example, annual precipitation showed a decreasing trend in the middle reaches but a significant increasing trend in the headwaters area and lower reaches. Between 1981 and 2001, annual precipitation and temperature exhibited overall increasing trends as well as abrupt changes. (2) Temporal changes in precipitation were primarily low in the middle and lower reaches and high in the headwater region of the YRB, although a low precipitation concentration degree (CD) occurred in summer in the upper reaches. High temperature changes over time mainly occurred in the headwater region of the YRB, although a high temperature CD occurred in winter in the northern parts. (3) Different teleconnection indices affected precipitation and temperature in different seasons. In particular, the Niño 3.4, North Atlantic Oscillation, and North Pacific Index had a significant influence on precipitation and temperature. This study provides critical information for revealing the changes in meteorological and hydrological processes and potential influencing factors in the YRB.

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Data availability

Meteorological data are supported by China Meteorological Administration (available at http://data.cma.cn). Teleconnection indices are provided by the National Center for Atmospheric Research (available at https://climatedataguide.ucar.edu/climate-data).

References

  • Allan RP, Barlow M, Byrne MP et al (2020) Advances in understanding large-scale responses of the water cycle to climate change. Anal New York Acad Sci 1472(1):49–75

    Google Scholar 

  • Blender R, Zhu XH, Zhang D et al (2011) Yangtze runoff, precipitation, and the east asian monsoon in a 2800 years climate control simulation. Quatern Int 244(2):194–201

    Google Scholar 

  • Bollasina MA, Ming Y, Ramaswamy V (2011) Anthropogenic aerosols and the weakening of the south asian summer monsoon. Sci 334:502–505. https://doi.org/10.1126/science.1204994

    Article  Google Scholar 

  • Chen ZQ, Zeng Y, Shen GY et al (2020) Spatiotemporal characteristics and estimates of extreme precipitation in the Yangtze River Basin using GLDAS data. Int J Climatol 41:E1812–E1830

    Google Scholar 

  • CMA Climate Change Center (20202020) Blue Book on Climate Change in China. Science Press, Beijing

  • Ding Y, Sun Y, Wang Z et al (2009) Inter-decadal variation of the summer precipitation in China and its association with decreasing asian summer monsoon part II: possible causes. Int J Climatol 29:1926–1944. https://doi.org/10.1002/joc.1759

    Article  Google Scholar 

  • Dong X (2016) Influences of the Pacific Decadal Oscillation on the east asian summer Monsoon in non-ENSO years. Atmos Sci Lett 17(1):115–120

    Google Scholar 

  • Galappaththi EK, Ford JD, Bennett EM (2019) A framework for assessing community adaptation to climate change in a fisheries context. Environ Sci Pol 92:17–26. https://doi.org/10.1016/j.envsci.2018.11.005

    Article  Google Scholar 

  • Gemmer M, Tong J, Su B et al (2008) Seasonal precipitation changes in the wet season and their influence on flood/drought hazards in the Yangtze River Basin, China. Quatern Int 186(1):12–21

    Google Scholar 

  • Hu M, Dong M, Tian X et al (2021) Trends in different grades of precipitation over the Yangtze River Basin from 1960 to 2017. Atmos 12(3):413

    Google Scholar 

  • Huang SZ, Chang JX, Huang Q et al (2015a) Identification of abrupt changes of the relationship between rainfall and runoff in the Wei River basin, China. Theor Appl Climatol 120(1–2):299–310

    Google Scholar 

  • Huang SZ, Chang JX, Leng GY et al (2015b) Integrated index for drought assessment based on variable fuzzy set theory: a case study in the Yellow River basin, China. J Hydrol 527:608–618

    Google Scholar 

  • Huang SZ, Li P, Huang Q et al (2017) The propagation from meteorological to hydrological drought and its potential influence factors. J Hydrol 547:184–195

    Google Scholar 

  • IPCC. Summary for policymakers (2018) In: Masson-Delmotte V, Zhai P, Pörtner H-O et al (eds) Global warming of 1.5°C. Cambridge University Press, Cambridge and New York, pp 1–24

    Google Scholar 

  • Jiang T, Kundzewicz ZW, Su B (2008) Changes in monthly precipitation and flood hazard in the Yangtze River Basin, China. Int J Climatol 28

  • Krishnan R, Coauthors (2016) Deciphering the desiccation trend of the south asian monsoon hydroclimate in a warming world. Clim Dyn 47:1007–1027

    Google Scholar 

  • Li H, Zhai PM, Zhao W et al (2017) Changes in temporal concentration property of summer precipitation in China during 1961–2010 based on a new index. J Meteorol Res 31:336–349

    Google Scholar 

  • Li QW, Zuo QT, Li DL et al (2021) Spatial equilibrium analysis of water resources development and utilization in Xinjiang. Water Res Protect 37:28–33

    Google Scholar 

  • Li XY, Long D, Scanlon BR et al (2023) Climate change threatens terrestrial water storage over the Tibetan Plateau. Nat Clim Change 12(9):801–. https://doi.org/10.1038/s41558-022-01443-0

    Article  Google Scholar 

  • Liu YJ, Yang P, Zhang SQ et al (2022) Dynamic identification and health assessment of wetlands in the middle reaches of the Yangtze River under changing environment. J Clean Prod. https://doi.org/10.1016/j.jclepro.2022.131105

    Article  Google Scholar 

  • Lodoun T, Giannini A, Traoreì PS et al (2013) Changes in seasonal descriptors of precipitation in Burkina Faso associated with late 20th century drought and recovery in West Africa. Environ Dev 5:96–108

    Google Scholar 

  • Martin-Vide J (2004) Spatial distribution of a daily precipitation concentration index in peninsular Spain. Int J Climatol 24:959–971

    Google Scholar 

  • Nie N, Zhang WC, Liu M et al (2020) Separating the impacts of climate variability, land-use change and large reservoir operations on streamflow in the Yangtze River basin, China, using a hydrological modeling approach. Int J Digit Earth 14(2):231–249

    Google Scholar 

  • Niu Z, Wang L, Feng L et al (2020) Analysis of spatiotemporal variability in temperature extremes in the Yellow and Yangtze River basins during 1961–2014 based on high-density gauge observations. Int J Climatol 40(1):1–21

    Google Scholar 

  • Ouyang R, Liu W, Fu G et al (2014) Linkages between ENSO/PDO signals and precipitation, streamflow in China during the last 100 years. Hydrol Earth Syst Sci 18(9):3651–3661

    Google Scholar 

  • Panthou G, Vischel T, Lebel T (2014) Recent trends in the regime of extreme rainfall in the Central Sahel. Int J Climatol 34:3998–4006

    Google Scholar 

  • Partridge MD, Rickman DS, Olfert MR et al (2012) Dwindling U.S. internal migration: evidence of spatial equilibrium or structural shifts in local labor markets? Reg Sci Urban Econ 42:375–388

    Google Scholar 

  • Peng J, Luo X, Liu F et al (2018) Analyzing the influences of ENSO and PDO on water discharge from the Yangtze River into the sea. Hydrol Process 32(8):1090–1103

    Google Scholar 

  • Rafiei-Sardooi E, Azareh A, Shooshtari SJ (2022) Long-term assessment of land-use and climate change on water scarcity in an arid basin in Iran. Ecol Model 467:109934. https://doi.org/10.1016/j.ecolmodel.2022.109934

    Article  Google Scholar 

  • Roxy MK, Ritika K, Terray P et al (2015) Drying of indian subcontinent by rapid Indian Ocean warming and a weakening land-sea thermal gradient. Nat Commun 6:7423. https://doi.org/10.1038/ncomms8423

    Article  Google Scholar 

  • Salzmann M, Weser H, Cherian R (2014) Robust response of asian summer monsoon to anthropogenic aerosols in CMIP5 models. J Geophys Res Atmos 119:11321–11337

    Google Scholar 

  • Sarr MA, Zoromeì M, Seidou O et al (2013) Recent trends in selected extreme precipitation indices in Senegal A changepoint approach. J Hydrol 505:326–334

    Google Scholar 

  • Shi J, Cui LL (2022) Comparison of seasonal climate in China during the cold and warm phases of ENSO. Clim Res 85:113–128

    Google Scholar 

  • Shi GX, Ye P (2021b) Assessment on temporal and spatial variation analysis of extreme temperature indices: a case study of the Yangtze River Basin. Int J Environ Res 18(20):10936

    Google Scholar 

  • Shi GX, Ye P, Yang X (2021a) Spatio-temporal variation analysis of the Biological Boundary Temperature Index based on accumulated temperature: a case study of the Yangtze River Basin. ISPRS Int J Geo-Inf 10(10):675

    Google Scholar 

  • Sohoulande Djebou DC, Singh VP (2015) Retrieving vegetation growth patterns from soil moisture, precipitation and temperature using maximum entropy. Ecol Model 309–310:10–21

    Google Scholar 

  • Tabari H (2020) Climate change impact on flood and extreme precipitation increases with water availability. Sci Rep 10(1):13768

    Google Scholar 

  • Tang SK, Qiao SB, Feng TC et al (2021) Asymmetry of probabilistic prediction skills of the midsummer surface air temperature over the middle and lower reach of the Yangtze River valley. Clim Dynam 57(11–12):3285–3302

    Google Scholar 

  • Tao H, Gemmer M, Bai YG et al (2012) Assessment of CMIP3 climate models and projected changes of precipitation and temperature in the Yangtze River Basin, China. Clim Change 111(3–4):737–751

    Google Scholar 

  • Tao YW, Wang YK, Rhoads B et al (2020) Quantifying the impacts of the three Gorges Reservoir on water temperature in the middle reach of the Yangtze River. J Hydrol 582:124476

    Google Scholar 

  • Taylor CM, Coauthors (2017) Frequency of extreme Sahelian storms tripled since 1982 in satellite observations. Nature 544:475–478

    Google Scholar 

  • Wang B., Ding QH (2006) Changes in global monsoon precipitation over the past 56 years. Geophysical Research Letters 33(6):L06711. https://doi.org/10.1029/2005GL025347.

  • Wang B, Biasutti M, Byrne MP et al (2021a) Monsoons Climate Change Assessment. B Am Meteorol Soc 102(1):E1–E19

    Google Scholar 

  • Wang M, Zhang Y, Lu Y et al (2021b) Detection and attribution of reference evapotranspiration change (1951–2020) in the Upper Yangtze River Basin of China. J. Water Clim Change 2021

  • Wei J, Wang WG, Shao QX et al (2020) Influence of mature El Nino-Southern Oscillation phase on seasonal precipitation and streamflow in the Yangtze River Basin, China. Int J Climatol 40(8):3885–3905

    Google Scholar 

  • Wu Q, Zuo Q, Han C et al (2022) Integrated assessment of variation characteristics and driving forces in precipitation and temperature under climate change: a case study of Upper Yellow River basin, China. Atmos Res 272:106156

    Google Scholar 

  • Xiao M, Zhang Q, Singh VP (2015) Influences of ENSO, NAO, IOD and PDO on seasonal precipitation regimes in the Yangtze River basin, China. Int J Climatol 35:3556–3567

    Google Scholar 

  • Yang ZP, Gao JX, Zhou CP (2011) Spatio-temporal changes of NDVI and its relation with climatic variables in the source regions of the Yangtze and Yellow rivers. J Geogr Sci 21(6):979–993

    Google Scholar 

  • Yang P, Zhang SQ, Xia J et al (2022a) Analysis of droughts and floods alternation and its driving factors in the Yangtze River basin under climate change. Atmos Res. https://doi.org/10.1016/j.atmosres.2022.106087

    Article  Google Scholar 

  • Yang P, Wang WY, Zhai XY et al (2022b) Influence of terrestrial water storage on flood potential index in the Yangtze River Basin, China. Remote Sens 14(13):3082. https://doi.org/10.3390/rs14133082

    Article  Google Scholar 

  • Yang P, Zhang SQ, Xia J et al (2022c) Linear and nonlinear causal relationships between the dry/wet conditions and teleconnection indices in the Yangtze River basin. Atmos Res. https://doi.org/10.1016/j.atmosres.2022.106249

    Article  Google Scholar 

  • Yang P, Zhai XY, Huang HQ et al (2023) Association and driving factors of meteorological drought and agricultural drought in Ningxia, Northwest China. Atmos Res 289:106753. https://doi.org/10.1016/j.atmosres.2023.106753

    Article  Google Scholar 

  • Yue Y, Yan D, Yue Q et al (2021) Future changes in precipitation and temperature over the Yangtze River Basin in China based on CMIP6 GCMs. Atmos Res 264:105828

    Google Scholar 

  • Zhang LJ, Qian YF (2003) Annual distribution features of precipitation in China and their inter-annual variations. Acta Meteorol Sin 17(2):146–163

    Google Scholar 

  • Zhang FY, Zhang ZX, Kong R et al (2019) Changes in forest net primary productivity in the Yangtze River Basin and its relationship with climate change and human activities. Remote Sens 11(12):1451

    Google Scholar 

  • Zhang SQ, Yang P, Xia J et al (2022a) Land use/Land cover prediction and analysis of the middle reaches of the Yangtze River under different scenarios. Sci Total Environ 833:155238

    Google Scholar 

  • Zhang SQ, Yang P, Xia J et al (2022b) Research and Analysis of Ecological Environment Quality in the Middle reaches of the Yangtze River Basin between 2000 and 2019. Remote Sens 13:4475. https://doi.org/10.3390/rs13214475

    Article  Google Scholar 

  • Zhao YM, Xu K, Dong NP et al (2022) Projection of climate change impacts on hydropower in the source region of the Yangtze River based on CMIP6. J Hydrol 606:127453

    Google Scholar 

  • Zhou T, Gong D, Li J et al (2009) Detecting and understanding the multi-decadal variability of the east asian summer monsoon recent progress and state of affairs. Meteor Z 18:455–467. https://doi.org/10.1127/0941-2948/2009/0396

    Article  Google Scholar 

  • Zuo QT, Han CH, Ma JX (2019) Application rules and quantification methods of water resources spatial equilibrium theory. Hydro-Sci Eng 6:50–58

    Google Scholar 

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Funding

This research was supported by the Visiting Researcher Fund Program of the State Key Laboratory of Water Resources and Hydropower Engineering Science (2020SWG01).

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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by JL and YCZ. The first draft of the manuscript was written by PY and YYZ. JX and HQH performed as the program administration and all authors commented and on previous versions of the manuscript.

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Correspondence to Peng Yang or Yongyong Zhang.

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Yang, P., Zhang, Y., Li, J. et al. Characterization of precipitation and temperature equilibrium and its driving forces in the Yangtze river basin under climate change. Clim Dyn 61, 5861–5873 (2023). https://doi.org/10.1007/s00382-023-06888-3

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